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Marquand

    Data Engineer - Indianapolis, United States - RADCUBE | Rapid Technology Solutions

    RADCUBE | Rapid Technology Solutions
    RADCUBE | Rapid Technology Solutions Indianapolis, United States

    4 weeks ago

    Default job background
    Description
    Responsibilities
    • Design, develop, and implement data pipelines using Azure Data Factory, Power BI, or Databricks
    • Extract data from various sources, including databases, APIs, and external data providers
    • Transform data to meet the needs of our data analysts and data scientists
    • Load data into our data warehouse and data lake
    • Ensure data quality and integrity through data validation, cleansing, and error handling
    • Monitor and maintain data pipelines
    • Document data pipelines and processes
    • Collaborate with data analysts, data scientists, and other stakeholders to understand data needs and develop solutions
    Qualifications
    • 2+ years of experience as a Data Engineer or related role
    • Experience with cloud platforms like Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) (Preferred). Experience with Azure Data Factory, Power BI, or Databricks (Mandatory)
    • Experience with SQL and a scripting language like Python or Scala
    • Experience with data warehousing and data lake concepts
    • Experience with data quality tools and techniques
    • Strong problem-solving and analytical skills
    • Excellent communication and collaboration skills
    • Ability to work independently and as part of a team
    Requirements

    Responsibilities
    • Design, develop, and implement data pipelines using Azure Data Factory, Power BI, or Databricks
    • Extract data from various sources, including databases, APIs, and external data providers
    • Transform data to meet the needs of our data analysts and data scientists
    • Load data into our data warehouse and data lake
    • Ensure data quality and integrity through data validation, cleansing, and error handling
    • Monitor and maintain data pipelines
    • Document data pipelines and processes
    • Collaborate with data analysts, data scientists, and other stakeholders to understand data needs and develop solutions
    Qualifications
    • 2+ years of experience as a Data Engineer or related role
    • Experience with cloud platforms like Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) (Preferred). Experience with Azure Data Factory, Power BI, or Databricks (Mandatory)
    • Experience with SQL and a scripting language like Python or Scala
    • Experience with data warehousing and data lake concepts
    • Experience with data quality tools and techniques
    • Strong problem-solving and analytical skills
    • Excellent communication and collaboration skills
    • Ability to work independently and as part of a team
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